Quantitative Forecasting & Capacity Modeler

Bank of America; Newark (DE); On-site; USD 90,000 - 140,000; Full time

Job summary

Bank of America is seeking a data modeling professional to develop and maintain volume forecasting and capacity planning models across Global Operations. You will work with SAS, Python, R and optimization tools to deliver accurate forecasts and decision-ready insights for staffing and resources.

The ideal candidate has 2+ years in quantitative roles, strong time-series and simulation skills, and the ability to communicate complex results to senior leadership while adhering to Model Risk

Qualifications

• Bachelor's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field.
• 2+ years of experience in quantitative roles modeling complex systems.
• Fundamental understanding of linear regression and time-series modeling, discrete event simulation, and/or optimization techniques.
• Proficient in MS Office, particularly Excel.
• Experience with SAS, Python, R, or similar statistical software.
• Experience with Arena or similar discrete event simulation software.
• Experience with SAS OR, GAMS, XPRESS, CPLEX, or similar optimization software.
• Ability to work in a team-oriented environment with strong problem solving and collaboration.
• Strong communication and interpersonal skills - ability to convey complex ideas clearly to stakeholders.
• Natural curiosity and drive to answer important business questions.
• High aptitude for self-motivation and independent project work in a fast-paced environment.

Responsibilities

• Develop and maintain volume forecasting, capacity planning, and resource optimization models.
• Help modernize existing volume forecasting and capacity models using advanced predictive modeling, simulation and optimization techniques.
• Assist in driving volume and capacity modeling consistency and innovation across the team.
• Routinely partner with the Front Line Units (FLUs) to generate best in class outcomes.
• Conduct routine model production and performance presentations with executive leadership.
• Evaluate new opportunities and implement enhancements to current capacity model inputs, processes, and outputs.
• Help with documentation and other efforts to adhere to Model Risk Management (MRM) guidelines.
• Develops and maintains models for the line of business, including volume forecasts, capacity plans, and vendor models.
• Drives horizontal consistency in model development and usage across peer groups.
• Conducts routine model production and performance presentations with executive leadership.
• Ensures adherence to Model Risk Management (MRM) requirements.
• Supports ongoing model monitoring to improve forecasting performance and efficiency.

Skills

Analytical Thinking

Data Modeling

Data Visualization

Data Mining

Presentation Skills

Problem Solving

Risk Management

Stakeholder Management

Data Management

Attention to Detail

Collaboration

Communication Skills

Data and Trend Analysis

Education

Bachelor's degree in Statistics, Applied Economics, Industrial Engineering, Mathematics, Operations Research, Analytics, Finance or other STEM field

Tools

SAS

Python

R

Arena

SAS OR

GAMS

XPRESS

CPLEX

MS Office (Excel)

Job description

Bank of America is seeking a data modeling professional to develop and maintain volume forecasting and capacity planning models across Global Operations. You will work with SAS, Python, R and optimization tools to deliver accurate forecasts and decision-ready insights for staffing and resources.

The ideal candidate has 2+ years in quantitative roles, strong time-series and simulation skills, and the ability to communicate complex results to senior leadership while adhering to Model Risk